Name: SecOps in the Age of AI | The Future of SecOps with Cortex XSIAM
Start: 2025-05-13T20:00:00Z
End: 2025-05-13T20:00:38.000Z
Location: BrightTALK
Rating: 4.2

Palo Alto Networks is the next-generation security company, leading a new era in cybersecurity by safely enabling applications and preventing cyber breaches for tens of thousands of organizations worldwide. Built with an innovative approach and highly differentiated cyberthreat prevention capabilities, our game-changing security platform delivers security far superior to legacy or point products, safely enables daily business operations, and protects an organization's most valuable assets. Find out more at www.paloaltonetworks.com or call us at 1-877-524-1031.

AI agents powered by the Model Context Protocol (MCP) are reshaping how enterprises work — coordinating tasks, integrating with tools and making autonomous decisions at scale. But the very power that makes MCP so transformative also makes it dangerous. Attackers don’t need to break your infrastructure; they just need to trick your AI. From prompt injections and impersonated services to excessive privilege and compromised “trusted” tools, MCP introduces a new class of vulnerabilities that can quietly erode revenue, trust and compliance.

Traditional security controls aren’t designed for this environment. AI agents move fast, interpret loosely and can be manipulated in ways legacy defenses can’t detect. The question isn’t whether MCP-enabled agents can be exploited — it’s how quickly adversaries will take advantage.

In this session, we’ll demystify MCP, expose the top security gaps it creates and share a practical security playbook for containing AI risk. Whether you’re an executive asking “what’s the business impact?” or a practitioner asking “how do I defend it?”, you’ll walk away with a clear roadmap for securing your agentic future.

You’ll learn:

● How MCP works — and why it’s becoming the backbone of agentic AI.
● The most common and dangerous ways AI agents can be tricked.
● Security strategies to control agent “agency” and prevent rogue behavior.
● What leaders must do now to protect AI-powered systems before attackers strike.

Join us to uncover the hidden risks in MCP — and how to defend your AI before it makes a decision you can’t take back.

Can your AI Be Tricked? Exposing the Security Gaps in MCP

AI systems are no longer theoretical targets — they’re already being exploited. From jailbreaks and prompt injections to data leaks and agent manipulation, attackers are using simple language to probe and break systems once thought secure. Traditional pentesting can’t keep pace with this reality. AI behaves unpredictably, its vulnerabilities change with context and every new update or integration introduces fresh risk.

In this session, we’ll explore why AI needs an entirely new red teaming playbook. You’ll hear real-world evidence of how even the most advanced models fail under adversarial testing, and why continuous red teaming — across models, applications and agents — is now essential. We’ll break down how red teaming works in practice, from simulating guardrail bypasses and data exfiltration to uncovering context-driven flaws that only appear in deployment.

You’ll learn:

● Why AI’s nondeterministic nature breaks the old red-teaming model.
● The most common attack vectors enterprises face today.
● How vulnerabilities differ in models, applications and agents.
● How continuous red teaming builds confidence for developers, executives and customers alike.

Join us to see how AI red teaming turns hidden flaws into actionable insights — helping you protect your business before attackers exploit the gaps.

Red Teaming Your AI Systems Before Attackers Do

Generative AI is transforming how businesses innovate — but it also opens the door to risks that only surface once systems go live. Even rigorously trained models can harbor hidden flaws that attackers exploit through prompt injection, jailbreaks, tool misuse or data exfiltration. These aren’t rare edge cases — organizations have already suffered financial loss, compliance penalties and reputational damage from AI failures.

In this webinar, we’ll show why static testing and traditional tools can’t keep pace with adaptive AI systems. You’ll learn:

• How vulnerabilities emerge when chatbots and agents interact with real users.
• Real-world cases where runtime attacks disrupted operations and eroded trust.
• Why legacy security methods fail to block AI-specific threats.
• A practical framework for runtime protection using inspection, monitoring and adaptive defenses.
• How Prisma AIRS™ AI Runtime Security delivers broad detection and low-latency safeguards without slowing innovation.

Join us to see how runtime protection transforms AI from an unpredictable risk into a trusted, resilient business enabler.

When Hidden Flaws Surface: Securing AI at Runtime

AI is a powerful driver of innovation, but it can introduce an invisible risk: unintentional data leaks. These leaks are often self-inflicted when employees, customers or partners unintentionally expose sensitive data through AI tools. Systems can remember, replicate and resurface confidential information in unexpected ways, leaving organizations vulnerable without a clear forensic trail. The ultimate risk isn’t just fines or a breach notification, but a profound loss of trust from customers, regulators and boards.

In this webinar, we'll shift the conversation from a technical problem to a trust-driven business imperative. You'll learn:

● Why traditional security models fail.
● The most common ways sensitive data slips into and out of AI systems.
● How to build a proactive AI governance strategy with real-time visibility and automated guardrails.
● How to accelerate AI adoption safely. 

Join us to move beyond reactive security and create a responsible AI framework that lets you innovate confidently.

When AI Leaks: Containing and Preventing Sensitive Data Leaks

AI is redefining what’s possible, with over 78% of global enterprises having integrated it into their operations. However, only 6% have an advanced AI security strategy framework. To compensate, many organizations are putting AI guardrails in place, hoping to seal security gaps without slowing innovation.

In this webinar, we'll expose the "guardrail trap" — the reason why these traditional mechanisms often fail under real-world pressure. Drawing on recent examples, we'll show you how adversaries exploit fragmented standards and risky design decisions, turning a "lethal trifecta" of external data, permissive tools and broad access rights into a major liability. 

You’ll leave with a clear framework for avoiding the guardrail trap — and a view into how Prisma AIRS™ can help your organization build AI systems that aren’t just functional, but resilient, compliant and trustworthy.

The Guardrail Trap: Why Existing AI Security Strategies Aren't Enough

Organizations face pressure as AI adoption accelerates and cloud environments expand, yet most lack full visibility into their security posture. With 79% of organizations reporting visibility gaps leading to three times more security incidents, the stakes are high. As AI spending surges across 96% of enterprises, identifying vulnerabilities in cloud networks and AI systems is critical.

This webinar explores three approaches to address security blind spots that put your organization at risk. Gain insights to protect cloud infrastructure and AI deployments before incidents occur.

· Techniques for assessing network risk in public cloud environments
· Strategies to test cloud firewalls against advanced threats
· Methods to identify exposures in AI applications, models, and data

Learn how complimentary tools can uncover security gaps and AI vulnerabilities missed by traditional methods. Watch to shift from reactive response to proactive security management.

3 Ways to Identify Your AI & Cloud Network Security Blind Spots

Cryptographically relevant quantum computers threaten traditional key exchange methods, leaving encrypted data vulnerable to harvest-now-decrypt-later attacks. Adversaries collect encrypted communications today, intending to decrypt them once quantum computers advance. Organizations must explore protection strategies beyond standard encryption.

This webinar examines quantum key distribution (QKD), an out-of-band key exchange technology using quantum mechanics instead of mathematical formulas. Unlike conventional methods, QKD generates encryption keys through a separate appliance, ensuring harvested data stays secure as attackers never access the key material. Topics include:

· How QKD integrates with VPN infrastructure
· Real-world use cases securing financial and government communications
· QKD’s advantages, limitations, and distance constraints

Learn how early adopters deploy QKD to protect sensitive data against future quantum threats.

What is Quantum Key Distribution?

Traditional random number generators may leave cryptographic keys vulnerable to attacks, including quantum computing threats. As organizations transition to quantum-resistant security, entropy quality for encryption keys is critical yet often overlooked.

This session explores quantum random number generators (QRNGs) and their role in enhancing data security. Palo Alto Networks experts discuss the differences between pseudo-random, true random, and quantum random number generators, highlighting why entropy quality is as vital as key length for protecting sensitive data. The session includes evidence of vulnerabilities from weak entropy and guidance on implementing QRNG technology.

· Types of random number generators and their security implications
· How weak entropy has compromised SSL/TLS servers and IoT devices
· Current QRNG options, from embedded chips to cloud-based services

Watch this webinar to learn how QRNGs can strengthen your cryptographic foundation.

What is Quantum Random Number Generator QRNG?

Quantum computing threatens encryption standards, making the shift to postquantum cryptography (PQC) essential. Traditional algorithms protecting sensitive data today will become vulnerable as quantum computers emerge.

This session provides security leaders a roadmap for PQC migration. Experts from Palo Alto Networks cover technical fundamentals, standardization efforts, and strategies for quantum readiness. Key topics include:

· NIST-approved PQC algorithms for lattice-based, hash-based, and code-based approaches
· Hybrid cipher strategies combining classical and postquantum keys for compatibility and security
· Crypto agility frameworks enabling rapid algorithm transitions
· Migration scope and timeline for VPNs, TLS, certificate authorities, and endpoints

Cryptographic transitions take time—TLS 1.1 remains widely supported despite deprecation. With PQC adoption likely taking 8-10 years, organizations must start planning now to protect against quantum threats.

What is Post-Quantum Cryptography?

The threat of quantum computing to cryptography is imminent, making quantum readiness essential. Delaying initiatives risks exposing sensitive data to harvesting attacks, where encrypted information is collected now and decrypted later when quantum computers advance.

This session provides a framework for transitioning to a quantum-resistant network. Experts from Palo Alto Networks outline steps to assess cryptographic posture, prioritize migration based on business impact, and implement interim protections. Topics include:

· Conducting a cryptographic inventory to identify vulnerabilities
· Categorizing data by sensitivity and business impact to guide priorities
· Strengthening VPN and TLS security against quantum threats
· Using labs to evaluate post-quantum cryptography

Quantum migration is a multi-year initiative requiring careful planning. Start now to protect data needing long-term confidentiality. Watch to build a tailored quantum readiness roadmap.

Kickstarting Your Quantum Readiness Plan

Quantum computing threatens enterprise security as traditional encryption like RSA and elliptic curve cryptography nears obsolescence. Cryptographically relevant quantum computers enable harvesting attacks, where adversaries collect encrypted data now to decrypt later, leaving organizations vulnerable.

This session examines quantum algorithms like Shor's and Grover's that compromise encryption, focusing on risks to VPNs, SSL/TLS, digital signatures, and software signing. Learn why nation-states are harvesting encrypted communications and why immediate action is critical. Topics include quantum-resistant upgrades for key applications, the urgency of addressing harvesting attacks, and challenges with early post-quantum cryptography implementations.

Watch this webinar to understand the quantum threat landscape and why transitioning to quantum-resistant infrastructure must be prioritized before adversaries exploit vulnerabilities at scale.

Quantum Threats: What Every CISO Should Know

The encryption securing digital communications faces a major threat from quantum computers, which could break cryptographic algorithms protecting financial transactions and government secrets. With rapid advancements and investments, a cryptographically relevant quantum computer may arrive sooner than expected.

This webinar explores the quantum computing threat and offers a roadmap for transitioning to quantum-resistant security. Experts Phil Quan and Ru Chesa from Palo Alto Networks discuss how quantum algorithms like Shor's and Grover's threaten encryption, vulnerabilities in current PKI infrastructure, and implications for security. Topics include:

· How quantum computing enables faster cryptographic attacks
· When quantum computers might break encryption
· Government mandates driving post-quantum cryptography
· Steps to inventory cryptographic assets and prioritize migration

Act now to build quantum-resistant defenses before encryption becomes obsolete.

Quantum Computing: Closer than you think–but not as difficult as you expect

Modern data centers face an unprecedented series of security challenges - an increasingly intense threat environment, new threat vectors and risks from every AI app, and the "East-West blind spot," where threats move laterally between servers, completely invisible to traditional perimeter firewalls. This problem grows exponentially in distributed, multi-site environments, where maintaining a consistent security posture often seems impossible.

Join experts from Arista and Palo Alto Networks to understand a unified solution that solves these challenges without requiring a complex network redesign. Learn how the Arista data center fabric intelligently steers traffic to the Palo Alto Networks Next-Generation Firewall for deep, Layer 7 inspection, with policy then enforced at wire speed directly in the network.

This session will demonstrate how this integrated solution:
● Eliminates the East-West blind spot in a single data center.
● Extends to provide a single, consistent security policy across a multi-site environment using a single, seamless management experience
● Avoids common multi-site issues like asymmetric routing and inefficient traffic "tromboning."

Discover how to build a scalable, consistent, and automated Zero Trust strategy for your entire data center infrastructure.

Comprehensive Data Center Security for the Age of AI

Attackers are fully focused on utilizing the identity when infiltrating organizations through their endpoints. Most security teams are still fighting these threats with disconnected tools, creating dangerous blind spots that let threats slip through undetected.

Don’t let siloed security create blind spots. Join us for this webinar where our speakers, Niels van Bennekom from CyberArk, and Nadav Shai Kanon from Palo Alto Networks, will walk through the importance of breaking down silos in your organization’s security to protect the identity at the endpoint.

What you’ll learn:
● The risks organizations face through approaching endpoint protection and security in a siloed manner.
● What a defense-in-depth strategy looks like when protecting endpoints.
● How to transform your organization’s endpoint security from reactive to proactive with solution integrations.

Bridging security gaps with defense-in-depth: Tackling vulnerabilities of siloed security

According to Unit 42®, 80% of security exposures occur in the cloud, with attacks increasing almost 2x in the past three years. To stay ahead, modern organizations are adopting cloud detection and response (CDR) approaches in record numbers.

Join Forrester VP and Principal Analyst Andras Cser and Palo Alto Networks Technical Evangelist Ory Segal in a candid discussion on the state of CDR. They'll dive deep into cloud security trends, discuss real customer challenges and provide actionable recommendations to help your organization build a resilient CDR program.

What you'll learn:

- The state of cloud security: Understand why traditional security strategies are failing and how attackers are exploiting new cloud vulnerabilities faster than ever.
- Proactive vs. reactive approaches: Discover how a prevention-first approach is crucial to stopping attacks before they escalate.
- A strategic roadmap: Walk away with concrete, actionable steps for building a resilient CDR program, including how to improve threat detection and automate response.

This is a must-attend session for security leaders looking to move beyond reactive defense and stop cloud attacks in real time.

The State of Cloud Detection & Response, Featuring Forrester

Digital transformation is changing how we do business, creating incredible opportunities for growth and innovation. But as we embrace new technologies and workflows, we also open the door to new cyber risks. 

Don't let these challenges slow your progress. Join us to learn how to stop being a gatekeeper and start turning your security operations into an enabler of business growth.

In this session, you'll discover:  
● Discover the latest social engineering trends from Unit 42 research.
● Empower your security teams with automation and machine-learning tools to focus on the most critical threats.
● Strengthen your organization's defenses by leveraging AI to respond faster and more effectively.
● See how the Cortex XSIAM, the AI-Driven SOC Platform makes all of this possible.

Register today and take the first step toward a more secure digital future.

Secure Your Innovations, Outsmart Cyber Risks

Phantom Taurus isn't just another advanced persistent threat (APT), it's an evolution of cyber espionage itself. This highly sophisticated Chinese APT group identified by Unit 42 uses custom-built, evasive malware to bypass traditional defenses and breach high-value targets.

In this live briefing, our Unit 42 experts will share exclusive, actionable intelligence from our investigation conducted over the past two and a half years. You will learn how to:

● Unmask the Adversary: Go behind the scenes of the investigation that began with a single activity cluster and resulted in a newly attributed threat actor.
● Dissect the Novel Malware: Understand the details of the NET-STAR malware suite, including its fileless components and sophisticated evasion techniques.
● Harden Your Defenses: Learn the TTPs of Phantom Taurus to better protect yourself, and see how Palo Alto Networks provides a comprehensive defense against this new threat.

Get the insights you need to stop Phantom Taurus in your organization.

To learn more, check out the threat research: http://unit42.paloaltonetworks.com/phantom-taurus

UNMASKED: Inside a New Chinese Nexus APT

The truth? Upgrading from QRadar to Cortex XSIAM is easier than you think. Join Palo Alto Networks and IBM as we separate fact from fiction when it comes to modernizing your SOC. 

In this fast-paced myth-busting session, we’ll tackle the top concerns about moving to a cloud-native, AI-powered SOC, from fears of time-consuming deployments to worries about cost, complexity, and security. Hear directly from security leaders who’ve made the switch—and haven’t looked back.

Featuring Chris Meenan, formerly the VP of Security Product Management, Threat Management at IBM, now Security Operations Transformation Leader at Palo Alto Networks, Bill Crawford, VP of Sales at IBM, and Danny Milrad, Principal Product Marketing Manager for Unit 42 at Palo Alto Networks, this session delivers expert insights, real customer stories, and practical tips to simplify your journey from QRadar to the future of security operations.

What you’ll learn:
● Why QRadar customers are making the move now.
● What real customers say about migration timelines and outcomes.
● How IBM and Palo Alto Networks can help you upgrade seamlessly.

Don’t let outdated assumptions hold your SOC back. It’s time to debunk the myths and move forward with confidence.

5 QRadar Migration Myths Debunked: Why You Should Move to a Cloud-Native, AI-Driven SOC

Web application environments are more complex than ever. Many span multiple clouds, often include containers, are connected via APIs, and delivered via CDNs. While exploits against known vulnerabilities remain common, advanced campaigns use a variety of tactics to compromise web applications. An abundance of tools claiming to address these challenges has left many security teams unclear as to where to focus their attention. On top of this, security teams are worried about how to address increased usage of genAI in development, and attacks that leverage AI. Join John Grady and Melinda Marks as they discuss recent research on the application protection market and modern application security to help security teams solve the challenges they face.

Trends in Application Security and Increasing AI Adoption

The Security Operations Center (SOC) is at an AI-fueled inflection point, facing an increasing volume, velocity, and sophistication of threats from cybercriminals armed with AI tools. To combat these challenges, many SOCs have turned to AI and ML tools, but the balance between AI’s potential and its risks remains a pressing issue — especially for small- to medium-sized businesses (SMBs).  

Join us as we share the findings of Adlumin’s inaugural State of the SOC Report and provide a deeper look at how the Adlumin SOC is responding to today's cybersecurity threats. Will Ledesma, Director of MDR and SOC team leader at N-able, and Jim Waggoner, VP of Product Management at N-able, will share key insights from our State of the SOC Report including: 

- Where threats are coming from
- Benefits and challenges of AI  
- How AI has shaped and will shape the future of the SOC 
- Building the SOC of the future

This webinar is a must for any cybersecurity or IT professional. All registrants will receive an exclusive copy of the State of the SOC report.

2025 State of the SOC Report: The Impact of AI in SOCs

Generative AI (GenAI) could contribute $2.6 trillion to $4.4 trillion annually to the global economy according to consulting firm McKinsey, but achieving business goals requires using GenAI in a trustworthy and secure manner. As enterprise business units pour resources to drive innovation, security teams need to avoid compliance violations and data loss. Security for GenAI is a many-layered cake requiring security teams to consider everything from the (sensitive) data informing the model to prompt responses that might result in (sensitive) data exfiltration. Join Todd Thiemann as he discusses recent research on data resilience and data loss prevention in the context of GenAI.

Data and Identity Security for GenAI Infrastructure: Facilitating Innovation While Avoiding Compromises

The craft of software engineering, and thus the organizational risk that accompanies building applications, is always evolving. From mainframes to web and mobile, waterfall to agile, monoliths to microservices, bare-metal to DevOps and cloud, the past several years have seen massive disruptions to the ways software is developed, and the security tools and processes needed to manage emerging threats have often lagged behind.

We are now in the midst of another generational shift in the way applications are created; this time away from human-centered software development and toward a new world of machine-generated code, large language models, prompt engineering, and AI agents writing and managing software autonomously. This new landscape includes an entirely novel set of attack vectors that the application security practices of yesterday are not equipped to handle.

Just as the methodology of DevSecOps evolved to manage the new risks of DevOps-oriented software practice, a new framework is needed to identify, prioritize, remediate and manage the new classes of vulnerabilities being introduced rapidly into AI-native applications.

Join Snyk as we…

• Review the novel risks posed by AI-native software, and why existing application security testing tools and processes are not up to the task.
• Understand how roles and responsibilities are evolving quickly, and what it means for security that building software no longer requires knowledge of writing code.
• Discuss the ideal workflows for managing software risk in an agent-centric, machine-first SDLC.
• Define the pillars and practices of AITrustOps, the security readiness framework necessary to understand and mitigate AI-native software risk.

The Road to AITrustOps: Software Security Readiness for the Emerging AI Threat Landscape

The introduction of AI has created an imperative for the transformation of virtually every business system. This means every aspect of apps and infrastructure are in transition, leaving security pros to react to a massively changing attack surface. How will security teams respond? Where are security leaders focusing first? How will security strategies need to change to respond to this critical transformation? Join Dave Gruber, Principal Analyst, Enterprise Strategy Group as he shares a fresh industry perspective and data from his recent research on this topic.

AI-led Security Operations Strategies: Are You Keeping Up?

Cybersecurity has traditionally focused on identifying, analyzing, and mitigating vulnerabilities. However, as attackers evolve, including utilizing AI, the world of vulnerability management must undergo a massive transformation. This presentation will explore how AI-powered systems can reshape each facet of cyber risk and vulnerability management, improving both defensive capabilities and hacker tactics. This webinar will teach you the innovations driving this new approach, the emerging threats resulting from AI-enhanced attacks, and the future of risk management in an AI-driven world.

The Future of Security Risk - Security Vulnerabilities in the AI Era

2025 Enterprise Strategy Group Cybersecurity and AI Summit

Traditional, human-centered SOCs have failed to keep pace. To move faster than today's adversaries, you must transform security operations. See the Future With Cortex

Join Palo Alto Networks to delve into the power of AI in the realm of cybersecurity. We will explore Cortex XSIAM®️ 2.0 — a new way to run the SOC — with an automation-first approach strengthened with AI. Hear from our SecOps expert about how you can leverage an automation-first, AI-powered approach to achieve SOC platform convergence. The Cortex XSIAM platform harnesses the power of AI to detect threats in near-real time and prevent incidents with minimal or no manual effort.

SecOps in the Age of AI | The Future of SecOps with Cortex XSIAM

Security Operations Center

Security Automation

Cyber Security

Threat Detection

Threat Management

Incident Response

Cyber Attacks

Intrusion Detection & Prevention

Cyber Threats

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SecOps in the Age of AI | The Future of SecOps with Cortex XSIAM

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